Author:
Dinesh A.,Maragatharajan M.,Balakannan S. P.
Publisher
Springer Nature Singapore
Reference26 articles.
1. Sarangdhar AA, Pawar VR (2017) Machine learning regression technique for cotton leaf disease detection and controlling using IoT. In: International conference on electronics, communication and aerospace technology, ICECA 2017
2. Huang et al (2014) New optimized spectral indices for winter wheat diseases. IEEE J Sel Top Appl Earth Observ Remote Sens, pp 128–135
3. Delwiche SR, Kim MS (2000) Hyperspectral imaging for detection of scab in wheat. Biol Qual Precis Agric 4203:13–20
4. Yang C (2012) A high-resolution airborne four-camera imaging system for agricultural remote sensing. In: Computers and electronics in agriculture, pp 13–24
5. Qin Z, Zhang M, Christensen T, Li W (2003) Remote sensing analysis of rice disease stresses for farm pest management using wide-band airborne data. In: Geoscience and remote sensing symposium, pp 7–13
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献